On the Particle-Assisted Stochastic Search Mechanism in Wireless Cooperative Localization

The wireless cooperative localization plays a key role in location-aware service. However, its objective function, e.g., the posteriori probability function, is commonly nonconvex due to nonlinear measurement function and/or non-Gaussian system disturbance. Moreover, due to the unavoidable reference...

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Bibliographic Details
Published in:IEEE transactions on wireless communications 2016-07, Vol.15 (7), p.4765-4777
Main Authors: Zhou, Bingpeng, Chen, Qingchun
Format: Article
Language:English
Subjects:
Algorithms
Atmospheric measurements
Convergence
cooperative localization
Linear programming
Localization
localization error propagation
Mathematical analysis
Mathematical models
Noise measurement
non-convex optimization
Optimization
Particle measurements
Particle-assisted search
Position (location)
Proposals
Searching
Stochasticity
Wireless communication
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Summary:The wireless cooperative localization plays a key role in location-aware service. However, its objective function, e.g., the posteriori probability function, is commonly nonconvex due to nonlinear measurement function and/or non-Gaussian system disturbance. Moreover, due to the unavoidable reference node location error, the associated objective function is commonly intractable, which further complicates the cooperative localization. In this paper, a novel particle-assisted stochastic search (PASS) algorithm is proposed to realize the cooperative localization. Given a nonconvex objective function, the proposed PASS method can find out the global optimum in probability, assisted with its search particles, detection particles, and proposal particles. In addition, the PASS algorithm can harness the reference node location uncertainties in cooperative localization, by employing its proposal particles. The associated Cramer-Rao lower bound (CRLB), localization error propagation, computational complexity, and convergence properties are also presented to assess the proposed PASS-based cooperative localization. Finally, received signal strength-based localization is simulated to validate the effectiveness of the proposed PASS approach.
ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2016.2545665